Description: The first step to intelligent image/video processing for face recognition in uncontrolled scenery with complex backgrounds (outdoor environments, airports, train/bus stations) is face detection. The precision of the latter heavily depends your face recognition results. Typically scientists investigating in that field do not have the time or the ability to develop optimized C++ code ready for commercial use and confine themselves with the Matlab development process only. Platform: |
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Author:曲亚武 |
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Description: The first step to intelligent image/video processing for face recognition in uncontrolled scenery with complex backgrounds (outdoor environments, airports, train/bus stations) is face detection. The precision of the latter heavily depends your face recognition results. Typically scientists investigating in that field do not have the time or the ability to develop optimized C++ code ready for commercial use and confine themselves with the Matlab development process only. -The first step to intelligent image/video processing for face recognition in uncontrolled scenery with complex backgrounds (outdoor environments, airports, train/bus stations) is face detection. The precision of the latter heavily depends your face recognition results. Typically scientists investigating in that field do not have the time or the ability to develop optimized C++ code ready for commercial use and confine themselves with the Matlab development process only. Platform: |
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Author:曲亚武 |
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Description: 该代码在matlab环境下实现人脸检测。核心代码采用c语言编写，可直接用于matlab环境下。目前，该代码可有效检测视频或图像中的单个人脸，可以作为研究者入门和学习编写代码之用。-This code written in Matlab is used to realize face detection. The key code is written in C and can be applied in Matlab environment directly. Recently, it can only detect one face existing in video or image. So, it can be used to learn how to write code for face detection in Matlab environemtn. Platform: |
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Author:朱亮亮 |
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Description: 智能图像/视频处理中，复杂背景环境（比如室外环境、机场、车站等）下，人脸识别的第一步是人脸的检测。它的精确度直接影响到后期识别的结果。不过，领域内的科学家们基本上很难有足够的精力和时间开发优化的C++代码，使其用于商业用途，而一般都是只在Matlab中进行模拟。
本文的目的是提供一个我开发的SSE优化的，C++库，用于人脸检测，你可以马上把它用于你的视频监控系统中。文章中的分类器的训练数据来自与我的 webcam图像，它们被采集于不同时间，不同光照，不同背景环境下，它几乎可以实时地检测出我（的脸：）。训练的非人脸数据来自对不同背景的采集，用的是同一个webcam。被提取出的人脸区域，已经经过下面的处理：高斯滤波，直方图均衡化。
如果你需要更精确的结果，请从internet上下载更多不同的人脸集合，然后从新训练分类器。和我的库中一样尺寸的公共库是CBCL，其库超过100MB，所以，请大家自己下载楼-Intelligent image/video processing, complex background environment (such as an outdoor environment, airports, stations, etc.), the first step is the recognition of face detection. It directly affects the accuracy of the latter part of the identification results. However, scientists in the field are basically difficult to have enough energy and time to develop optimized C++ code to be used for commercial purposes, and are generally only be simulated in Matlab. The purpose of this paper is to provide an optimized SSE my development, C++ library for face detection, you can immediately use it for your video surveillance system. Face article classifier training data with my webcam images, which are collected at different times, in different lighting, different background environment, it is almost real-time detection of me (a :). Training of non-face data collection different backgrounds, with the same webcam. Was extracted face region, has been subjected to the following treatment: Gaussi Platform: |
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Author:周文活 |
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Description: 详细讲解了25个MATLAB图像与视频处理实用案例（含可运行程序），涉及雾霾去噪、答题卡自动阅卷、肺部图像分割、小波数字水印、图像检索、人脸二维码识别、车牌定位及识别、霍夫曼图像压缩、手写数字识别、英文字符文本识别、眼前节组织提取、全景图像拼接、小波图像融合、基于语音识别的音频信号模拟灯控、路面裂缝检测识别、视频运动估计追踪、Simulink图像处理等多项重要技术(Explain in detail the 25 MATLAB image and video processing utility case (including operating procedures), involving haze denoising, sheet automatic marking, lung image segmentation, wavelet digital watermarking, image retrieval, face recognition, license plate location and two-dimensional code recognition, image compression, Hoffman handwritten digit recognition, character recognition, text English anterior segment tissue extraction, panoramic image mosaic, image fusion, light control, analog audio signal of speech recognition pavement crack detection and identification, video tracking, motion estimation of Simulink image processing technology based on a number of important) Platform: |
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Author:糖糖的小糖
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